6 papers
A no-go theorem for privacy in distributed sensing using Gaussian states
Jason L. Pereira, Damian Markham
In the discrete variable setting, entangled resource states allow a set of parties to learn a global function of a set of spatially separated systems, whilst keeping the local para…
Detecting bipartite entanglement with PnCP maps and non-negative polynomials
Gaël Massé, Mounir Rezig, Paul Catala +4
Positive non-Completely Positive (PnCP) maps are an essential tool to detect entanglement since their characterization is a dual aspect of the separability problem. A recent algori…
Composable privacy of networked quantum sensing
Naomi R. Solomons, Damian Markham
Networks of sensors are a promising scheme to deliver the benefits of quantum technologies in coming years, offering enhanced precision and accuracy for distributed metrology throu…
Anonymous and private parameter estimation in networks of quantum sensors
Jarn de Jong, Santiago Scheiner, Naomi R. Solomons +3
Anonymity and privacy are two key properties of modern communication networks. In quantum networks, distributed quantum sensing has emerged as a powerful use case, with application…
Privacy in continuous-variable distributed quantum sensing
A. de Oliveira Junior, Anton L. Andersen, Benjamin Lundgren Larsen +5
Can a distributed network of quantum sensors estimate a global parameter while protecting every locally encoded value? We answer this question affirmatively by introducing and anal…
Private and Robust States for Distributed Quantum Sensing
LuÃs Bugalho, Majid Hassani, Yasser Omar +1
Distributed quantum sensing enables the estimation of multiple parameters encoded in spatially separated probes. While traditional quantum sensing is often focused on estimating a…